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Record W4390472129 · doi:10.2524/jtappij.77.1062

30 by 30 for Biodiversity

2023· article· en· W4390472129 on OpenAlexaboutno aff
Kobayashi Makoto

Bibliographic record

VenueJAPAN TAPPI JOURNAL · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiodiversityBusinessMechanism (biology)Genetic resourcesEnvironmental resource managementResource (disambiguation)Computer scienceEnvironmental scienceEcologyBiologyBiotechnology

Abstract

fetched live from OpenAlex

A new global goal to be achieved by 2030, the Kunming and Montreal Framework for Biodiversity, was adopted. With regard to resource mobilization, the Global Framework Fund for Biodiversity will be established in the Global Environment Facility (GEF) in 2023. With regard to the distribution of benefits related to the use of digital sequence information (DSI) related to genetic resources, it was decided to establish a multilateral mechanism and to establish an open working group to consider measures other than the multilateral mechanism for COP16.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.426
Threshold uncertainty score0.819

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0060.004
Open science0.0010.008
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.4260.440

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.216
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJAPAN TAPPI JOURNALSame topicEnvironmental DNA in Biodiversity StudiesFrench-language works237,207